Generic
Geekbench AI Score
2350
Single Precision Score
1102
Half Precision Score
2841
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | July 15 2025 08:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700K |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Extreme4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1516
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3284
3.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
7175
8.48 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
58% |
1921
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5093
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4606
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6140
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7860
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6726
8.65 IPS |
|
|
Style Transfer (Q)
|
87% |
10022
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2138
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
652
869.7 IPS |
|
|
Text Classification (Q)
|
97% |
418
559.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1849
35.7 IPS |
